Free Course Image Learn Python

Free online course Learn Python

Duration of the online course: 13 hours and 0 minutes

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Build real Python skills fast with a free online course—write scripts, automate tasks, work with files, APIs, and regex to boost your career.

In this free course, learn about

  • Python Fundamentals and Control Flow
  • Code Organization and Environments
  • Data Structures, Files, and Functions
  • Scripts, Error Handling, APIs, and System Tasks
  • Input Validation and Regular Expressions

About the free online course

Python is one of the most versatile programming languages you can learn, and this free online course is designed to help you go from curiosity to confidence by practicing the fundamentals the way they are used in real projects. You will start by understanding how Python code is written and executed, then quickly move into working with variables, data types, and clean, readable expressions that form the base of every application.

As you progress, you will build the logic skills that make programs useful: conditions, comparisons, and control flow that let your code respond to different situations. You will also learn to iterate efficiently with loops and to structure your programs for growth by using modules and virtual environments. That means you will not only write code that works, but also build habits that help you keep projects organized and dependencies under control.

The course also focuses on practical everyday tasks that Python handles exceptionally well. You will work with core data structures like lists and dictionaries, learn how to read from and write to files, and create reusable functions so you can simplify complex problems into smaller pieces. You will see how small decisions, like handling input properly or debugging a script that will not run, can make the difference between a quick win and a frustrating afternoon.

To prepare you for automation and integration work, you will interact with the operating system, pass arguments via the command line, and use try statements to handle errors gracefully. You will also connect to web services through REST APIs, sending requests and working with JSON—skills that are directly relevant to modern development, data workflows, and tooling.

Finally, you will strengthen your application mindset by learning why filtering user input and sanitizing strings matters, especially when reliability and security are on the line. You will round out the experience with regular expressions so you can search, validate, and transform text with precision. By the end, you will have a well-rounded foundation for moving into automation, backend development, scripting, or further study in data and web technologies.

Course content

  • Video class: Python Coding Intro (Python Part 1) 54m
  • Exercise: What is one of the key advantages of using Python as a programming language across various types of projects?
  • Video class: Write and Run Python Scripts (Python Part 2) 48m
  • Exercise: What is an important consideration when troubleshooting why a Python script is not running as expected?
  • Video class: Variables and Concatenation in Python (Python Part 3) 37m
  • Exercise: Which of the following describes how Python handles data types?
  • Video class: If Else Statements and Conditions in Python (Python Part 4) 35m
  • Exercise: In Python, what statement would you use to check if two values are the same?
  • Video class: Loops in Python (Python Part 5) 31m
  • Exercise: Which of the following is used to iterate through a collection in Python?
  • Video class: Modules in Python (Python Part 6) 51m
  • Exercise: What is the purpose of using modules in Python programming?
  • Video class: venv / Virtual Environments in Python (Python Part 7) 50m
  • Exercise: What is the primary purpose of using a Python virtual environment?
  • Video class: Lists and Dictionaries in Python (Python Part 8) 46m
  • Exercise: In Python, which method would you use to add an item to the end of a list?
  • Video class: Write To and Read Files with Python (Python Part 9) 1h05m
  • Exercise: What Python file mode should you use if you want to write to a file without overwriting its existing contents?
  • Video class: Write Functions in Python (Python Part 10) 1h00m
  • Exercise: Which of the following is a benefit of using functions in programming?
  • Video class: Shebang, Input and ArgParse in Python (Python Part 11) 39m
  • Exercise: What is the primary purpose of using a shebang (`#!`) at the start of a Python script?
  • Video class: Try Statements in Python (Python Part 12) 37m
  • Exercise: Which statement best describes the primary use of Python as highlighted in the text?
  • Video class: REST APIs, Requests Module and JSON in Python (Python Part 13) 54m
  • Exercise: What is the main purpose of a REST API in a service-oriented architecture?
  • Video class: OS Module in Python (Python Part 14) 1h00m
  • Exercise: Which Python module allows interaction with the operating system to perform tasks such as directory management and executing system commands?
  • Video class: Filter Variables with Python (Python Part 15) 33m
  • Exercise: In Python, why is it important to filter user input when building an application?
  • Video class: Sanitize Strings with Python (Python Part 16) 22m
  • Exercise: Which of the following describes the main purpose of string sanitization in Python?
  • Video class: RegEx /Regular Expressions for Python (Python Part 17) 49m
  • Exercise: What is the primary purpose of using regular expressions (regex) in Python?

This free course includes:

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13 hours and 0 minutes of online video course

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Digital certificate of course completion (Free)

Icon for exercises to practice what you've learned

Exercises to train your knowledge

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100% free, from content to certificate

How do Python virtual environments help manage project dependencies?

A virtual environment isolates a project's Python packages and versions, preventing conflicts with other projects or the system installation.

What file mode appends text to an existing file in Python?

Use append mode, "a", with open(), such as open("log.txt", "a"), to add content without overwriting existing data.

How can Python use REST APIs and JSON data?

Python can send HTTP requests with the requests module, then read JSON responses with response.json() for use in an application.

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